####################################
# Artificial cutoffs
####################################

rm(list=ls())

#sink("~/Dropbox/Crime Chile/11_replication/10_artificial_cut_crime.txt")

library(Hmisc)
library(ggplot2)
library(stargazer)
library(foreign)
library(rdrobust) 
library(rdd)
library(readstata13)

################
# Prepare data 
################

# read data
d = read.dta13("~/Dropbox/Crime Chile/11_replication/local_crime_data_chile_2022january.dta")   
names(d)

############################
# Bandwidths
############################

describe(d$margin)
sd(d$margin)

############################
# C = -0.2343003
############################

# Homicide
summary(rdrobust(d$homicide_rate_s,d$margin,cluster = d$cluster,all=TRUE, c = -0.2343003))

# Rape
summary(rdrobust(d$rape_rate_s,d$margin,cluster = d$cluster,all=TRUE, c = -0.2343003))

# Assault 
summary(rdrobust(d$assault_rate_s,d$margin,cluster = d$cluster,all=TRUE, c = -0.2343003))

# Theft
summary(rdrobust(d$theft_rate_s,d$margin,cluster = d$cluster,all=TRUE, c = -0.2343003))

# Robbery
summary(rdrobust(d$robbery_rate_s,cluster = d$cluster,d$margin,all=TRUE, c = -0.2343003))

# Robbery by surprise
summary(rdrobust(d$robbery_surprise_rate_s,d$margin,cluster = d$cluster,all=TRUE, c = -0.2343003))

############################
# C = 0.2343003
############################

# Homicide
summary(rdrobust(d$homicide_rate_s,d$margin,cluster = d$cluster,all=TRUE, c = 0.2343003))

# Rape
summary(rdrobust(d$rape_rate_s,d$margin,cluster = d$cluster,all=TRUE, c = 0.2343003))

# Assault 
summary(rdrobust(d$assault_rate_s,d$margin,cluster = d$cluster,all=TRUE, c = 0.2343003))

# Theft
summary(rdrobust(d$theft_rate_s,d$margin,cluster = d$cluster,all=TRUE, c = 0.2343003))

# Robbery
summary(rdrobust(d$robbery_rate_s,cluster = d$cluster,d$margin,all=TRUE, c = 0.2343003))

# Robbery by surprise
summary(rdrobust(d$robbery_surprise_rate_s,d$margin,cluster = d$cluster,all=TRUE, c = 0.2343003))

#######################
# Table A19
#######################

# Homicide
summary(rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003))

pe1 = as.numeric(rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$Estimate[1])
pv1 = as.numeric(rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$pv[3])
ci1 = as.numeric(rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$ci[3,])
oss1 = as.numeric(rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N[1] + rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N[2])
ess1 = as.numeric(rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N_h[1] + rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N_h[2])
bw1 = as.numeric(rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$bws[1,1])

# Rape
summary(rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003))

pe2 = as.numeric(rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$Estimate[1])
pv2 = as.numeric(rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$pv[3])
ci2 = as.numeric(rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$ci[3,])
oss2 = as.numeric(rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N[1] + rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N[2])
ess2 = as.numeric(rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N_h[1] + rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N_h[2])
bw2 = as.numeric(rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$bws[1,1])

# Assault 
summary(rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003))

pe3 = as.numeric(rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$Estimate[1])
pv3 = as.numeric(rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$pv[3])
ci3 = as.numeric(rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$ci[3,])
oss3 = as.numeric(rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N[1] + rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N[2])
ess3 = as.numeric(rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N_h[1] + rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N_h[2])
bw3 = as.numeric(rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$bws[1,1])

# Theft
summary(rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003))

pe4 = as.numeric(rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$Estimate[1])
pv4 = as.numeric(rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$pv[3])
ci4 = as.numeric(rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$ci[3,])
oss4 = as.numeric(rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N[1] + rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N[2])
ess4 = as.numeric(rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N_h[1] + rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N_h[2])
bw4 = as.numeric(rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$bws[1,1])

# Robbery
summary(rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003))

pe5 = as.numeric(rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$Estimate[1])
pv5 = as.numeric(rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$pv[3])
ci5 = as.numeric(rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$ci[3,])
oss5 = as.numeric(rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N[1] + rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N[2])
ess5 = as.numeric(rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N_h[1] + rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N_h[2])
bw5 = as.numeric(rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$bws[1,1])

# Robbery by surprise
summary(rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003))

pe6 = as.numeric(rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$Estimate[1])
pv6 = as.numeric(rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$pv[3])
ci6 = as.numeric(rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$ci[3,])
oss6 = as.numeric(rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N[1] + rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N[2])
ess6 = as.numeric(rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N_h[1] + rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$N_h[2])
bw6 = as.numeric(rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = -0.2343003)$bws[1,1])

# TABLE A5
pe = c(pe1,pe2,pe3,pe4,pe5,pe6)
pv = c(pv1,pv2,pv3,pv4,pv5,pv6)
ci_lower = c(ci1[1],ci2[1],ci3[1],ci4[1],ci5[1],ci6[1])
ci_upper = c(ci1[2],ci2[2],ci3[2],ci4[2],ci5[2],ci6[2])
oss = c(oss1,oss2,oss3,oss4,oss5,oss6)
ess = c(ess1,ess2,ess3,ess4,ess5,ess6)
bw = c(bw1,bw2,bw3,bw4,bw5,bw6)
variable = c("Homicide","Rape","Assault","Theft","Robbery","Robbery by surprise")
data = data.frame(variable,pe,pv,ci_lower,ci_upper,oss,ess,bw)

colnames(data) = c("","Point Estimate","Robust P-value","Robust 95% Confidence Interval lower bound","Robust 95% Confidence Interval upper bound","Overall sample size","Effective sample size","MSE bandwidth")
data

stargazer(data, summary=FALSE, rownames=FALSE, out="~/Dropbox/Crime Chile/11_replication/tableA19.html")

#######################
# Table A20
#######################

# Homicide
summary(rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003))

pe1 = as.numeric(rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$Estimate[1])
pv1 = as.numeric(rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$pv[3])
ci1 = as.numeric(rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$ci[3,])
oss1 = as.numeric(rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N[1] + rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N[2])
ess1 = as.numeric(rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N_h[1] + rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N_h[2])
bw1 = as.numeric(rdrobust(d$homicide_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$bws[1,1])

# Rape
summary(rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003))

pe2 = as.numeric(rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$Estimate[1])
pv2 = as.numeric(rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$pv[3])
ci2 = as.numeric(rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$ci[3,])
oss2 = as.numeric(rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N[1] + rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N[2])
ess2 = as.numeric(rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N_h[1] + rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N_h[2])
bw2 = as.numeric(rdrobust(d$rape_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$bws[1,1])

# Assault 
summary(rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003))

pe3 = as.numeric(rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$Estimate[1])
pv3 = as.numeric(rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$pv[3])
ci3 = as.numeric(rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$ci[3,])
oss3 = as.numeric(rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N[1] + rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N[2])
ess3 = as.numeric(rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N_h[1] + rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N_h[2])
bw3 = as.numeric(rdrobust(d$assault_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$bws[1,1])

# Theft
summary(rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003))

pe4 = as.numeric(rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$Estimate[1])
pv4 = as.numeric(rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$pv[3])
ci4 = as.numeric(rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$ci[3,])
oss4 = as.numeric(rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N[1] + rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N[2])
ess4 = as.numeric(rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N_h[1] + rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N_h[2])
bw4 = as.numeric(rdrobust(d$theft_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$bws[1,1])

# Robbery
summary(rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003))

pe5 = as.numeric(rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$Estimate[1])
pv5 = as.numeric(rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$pv[3])
ci5 = as.numeric(rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$ci[3,])
oss5 = as.numeric(rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N[1] + rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N[2])
ess5 = as.numeric(rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N_h[1] + rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N_h[2])
bw5 = as.numeric(rdrobust(d$robbery_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$bws[1,1])

# Robbery by surprise
summary(rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003))

pe6 = as.numeric(rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$Estimate[1])
pv6 = as.numeric(rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$pv[3])
ci6 = as.numeric(rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$ci[3,])
oss6 = as.numeric(rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N[1] + rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N[2])
ess6 = as.numeric(rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N_h[1] + rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$N_h[2])
bw6 = as.numeric(rdrobust(d$robbery_surprise_rate_s,d$margin,all=TRUE,cluster = d$cluster, c = 0.2343003)$bws[1,1])

pe = c(pe1,pe2,pe3,pe4,pe5,pe6)
pv = c(pv1,pv2,pv3,pv4,pv5,pv6)
ci_lower = c(ci1[1],ci2[1],ci3[1],ci4[1],ci5[1],ci6[1])
ci_upper = c(ci1[2],ci2[2],ci3[2],ci4[2],ci5[2],ci6[2])
oss = c(oss1,oss2,oss3,oss4,oss5,oss6)
ess = c(ess1,ess2,ess3,ess4,ess5,ess6)
bw = c(bw1,bw2,bw3,bw4,bw5,bw6)
variable = c("Homicide","Rape","Assault","Theft","Robbery","Robbery by surprise")
data = data.frame(variable,pe,pv,ci_lower,ci_upper,oss,ess,bw)

colnames(data) = c("","Point Estimate","Robust P-value","Robust 95% Confidence Interval lower bound","Robust 95% Confidence Interval upper bound","Overall sample size","Effective sample size","MSE bandwidth")
data

stargazer(data, summary=FALSE, rownames=FALSE, out="~/Dropbox/Crime Chile/11_replication/tableA20.html")

sink()
